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Linkages between resources, motivation, and engagement in everyday activities.
Author(s) -
Tara L. Queen,
Thomas M. Hess
Publication year - 2017
Publication title -
motivation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.137
H-Index - 2
eISSN - 2333-8121
pISSN - 2333-8113
DOI - 10.1037/mot0000061
Subject(s) - everyday life , cognitive resource theory , psychology , structural equation modeling , cognition , construct (python library) , intrinsic motivation , activities of daily living , variation (astronomy) , predictive power , social psychology , developmental psychology , computer science , political science , neuroscience , machine learning , philosophy , epistemology , astrophysics , programming language , physics , psychiatry , law
The goal of this research was to examine the linkage between personal resources, intrinsic motivation, and participation in everyday activities. It was hypothesized the reductions in resources in later life will be associated with reduced motivation to engage in cognitively demanding activities, leading to reduction in participation in such activities in everyday life. To test this, we utilized data from the 2010 and 2012 waves of the Health and Retirement Survey. We used structural equation modeling to construct latent factors associated with health resources, cognitive resources, and intrinsic motivation. Cognitive and health resources were positively associated with intrinsic motivation, which in turn partially mediated the association between these resources and engagement in cognitively demanding everyday activities. Some variation in the fit of the model was observed across sexes, and the predictive power of the model was somewhat attenuated in the oldest old (ages 81+). The results support expectations derived from Selective Engagement Theory (Hess, 2014), which argues that increases in the costs associated with cognitive activity in later life negatively affects the motivation to engage in these potentially beneficial activities.

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